Abstract

The aim of the current study is to assess the effects of three types of factors related to access to higher education in students from technical high schools: Individual factors (Language and Math test scores on the University Selection Test (PSU), Average High School grades score (NEM), and Ranking score (point bonus for above average achievement based on grades in high school); Sociodemographic factors (gender, region, family income, and educational level and occupational status of both parents); and institutional factors (ownership: public or private, and technical concentrations offered by the school). To this end, data collected by the Department of Educactional Assessment, Measurement and Registry (DEMRE) and the Higher Education Information Service (SIES) for the 2009-2015 admission processes were analyzed. Binary logistic regression models enabled researchers to identify the variables that did influence whether students were more likely to enroll in a university or a career and technical education centre. The study identified the following factors: a) Mother’s educational level; b) Father’s occupational status (or educational level); c) Family income; d) career and technical education high school; e) Language test score; and f) Math test score.

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